This Illumio MCP server, developed by alexgoller, provides an interface for AI assistants to interact with Illumio's Policy Compute Engine (PCE). It integrates with the Illumio API to enable programmatic management of workloads, labels, and traffic flows within a zero trust security environment. The server exposes tools for creating, updating, and deleting workloads and labels, as well as analyzing traffic patterns and security policies. By abstracting PCE interactions, it allows AI systems to easily perform tasks like workload management, label operations, and traffic analysis. This implementation is particularly useful for security teams, network administrators, and DevOps professionals who want to leverage AI capabilities for automating Illumio PCE operations, enhancing security posture, and gaining insights from network traffic data.
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Retrieve all workloads from PCE.
Create an unmanaged workload with specified name, IP addresses, and labels.
Update an existing workload's properties.
Remove a workload from PCE by name.
Create a new label with key-value pair.
Remove an existing label by key-value pair.
Retrieve all labels from PCE.
Get detailed traffic flow data with comprehensive filtering options including date range, source/destination, service, policy decision, workload, and IP list query options.
Get summarized traffic flow information with the same filtering capabilities as get-traffic-flows.
Get rulesets from the PCE with optional filtering by name and enabled status.
Get IP lists from the PCE with optional filtering by name, description, and IP ranges.
Verify PCE connectivity and credentials.
Get events from the PCE with optional filtering by event type, severity, status, and limit on the number of results returned.
